Remediate
The system is viable. We provide a bounded scope to get it ready for production.
We turn stalled AI systems into services people can trust.
We assess, rescue, and deliver AI and automation systems that need to work beyond the demonstration, under real data, real scrutiny, and real operational pressure.
Where we begin
A demonstration proves possibility. Production demands evidence.
The gap is rarely the model alone. It is the system around it: identity, permissions, evaluation, observability, ownership, and the process it is expected to operate within.
- 01
A supplier delivered something that worked in the demonstration and failed on real data.
- 02
Security or governance review uncovered risks the original plan did not account for.
- 03
The people who built the system have gone, and ownership has become unclear.
- 04
The system is running, but its decisions cannot be reconstructed or evidenced.
What we usually find
Recurring defects, made visible.
Every assessment produces an evidence-backed version of this schedule for the system in front of us. The language is direct because the decision needs to be.
| Reference | Observed defect | Severity |
|---|---|---|
| D-01 | The system authenticates as a named person, invalidating both its audit trail and its access review. | Critical |
| D-02 | Tool and API permissions are unbounded, with no recorded definition of what the system is allowed to do. | Critical |
| D-04 | There is no evaluation set, so changes cannot be compared and releases cannot be defended. | Major |
| D-05 | Model inputs and outputs are not logged, leaving incidents and customer complaints impossible to investigate. | Major |
AP–01 / fixed scope
The production readiness assessment
Three working days to understand what has been built, what prevents release, what it will cost to resolve, and whether resolving it is the right decision.
View the full assessment- Fixed price£2,850, confirmed before work starts.
- Fixed turnaroundThree working days from access being granted.
- Yours to keepThe report is yours whether or not you engage us further.
The decision
Three honest outcomes. No predetermined build.
The assessment exists to improve the decision, not to manufacture a larger engagement.
Rebuild selectively
The intent is sound, but specific foundations need replacing before delivery continues.
Stop
The economics, risk, or process do not support further investment. We say so plainly.
End-to-end AI solutions
From first evidence to a service your team can run.
We assess what exists, recover viable systems, improve the process around them, and deliver new AI products and integrations. Every engagement is tied to a measurable operational result.
AI project rescue
A clear route from stalled prototype to dependable production service.
AI systems and integrations
Purpose-built agents, retrieval systems, and automation with the controls included.
MVP and product builds
A focused route from an uncertain idea to a live, testable product.
Process improvement
Understand the work before deciding what should be automated.
How we work
Clear decisions at every stage.
Our delivery model is designed to expose risk early and leave ownership with the organisation that commissioned the work.
Explore our approach- 01ScopeWe define the decision, boundaries, evidence, and fixed commercial terms.
- 02BlueprintWe agree architecture, data, controls, evaluation, and acceptance criteria.
- 03BuildWe work in short delivery loops, with visible progress and decisions twice weekly.
- 04LandWe release with runbooks, training, measured behaviour, and clear ownership.
- 05RunWe can support and evolve the service without creating a proprietary dependency.
Why work with us
A delivery partner, not a dependency.
We do not stop at advice. The people who assess the problem can stay with it through architecture, implementation, release, and handover while leaving the code, evidence, and operational control with your team.
- Your repositoryCode is committed to your repository from the first day of delivery.
- Your intellectual propertyYou own what we produce, with no proprietary runtime or licence back.
- Measured behaviourEvaluation and observability are part of the build, not a final hardening task.
- Clear ownershipEvery system leaves with documentation, runbooks, and an accountable operating model.
Insights
Notes from the work.
Practical writing about AI delivery, evaluation, security, and the operational decisions around them.
Why a named person's login should never authenticate an agent
Personal credentials may get an automation through a demonstration. They also make every resulting action impossible to attribute honestly.
The evaluation set nobody wrote
Without a representative baseline, every prompt or model change is a guess, and every release depends on memory.
When the right answer is a rule, not a model
Some apparent AI opportunities are really unresolved process decisions. Mapping the work first often reveals a simpler and more dependable intervention.
Quick information.
- Based
- United Kingdom
- Starting point
- Production readiness assessment
- Commercial frame
- Three working days · £2,850
- Ownership
- Your repository · Your intellectual property
Start with clarity
Bring us the system nobody is comfortable releasing.
We will help you establish what is real, what is missing, and what the next decision should be.
Start a conversation